初始化项目，由ModelHub XC社区提供模型

Model: ArHFcloud/mistral-7b-detell
Source: Original Platform

README.md

@@ -0,0 +1,31 @@
+---
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- mcquilibrium
+- multiple-choice
+- detell
+- qlora
+---
+
+# mistral-7b-detell
+
+MCQuilibrium de-tell model. A QLoRA fine-tune of Mistral-7B-Instruct-v0.2 that rewrites the
+answer choices of a multiple-choice question to remove tells, the surface artifacts that leak
+the correct answer. The LoRA adapter has been merged into the base weights, so this repo loads
+directly.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tok = AutoTokenizer.from_pretrained("ArHFcloud/mistral-7b-detell")
+model = AutoModelForCausalLM.from_pretrained("ArHFcloud/mistral-7b-detell", device_map="auto")
+
+messages = [{"role": "user", "content": "...question and choices..."}]
+inputs = tok.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
+out = model.generate(inputs, max_new_tokens=512)
+print(tok.decode(out[0][inputs.shape[-1]:], skip_special_tokens=True))
+```